Machine learning methods have been successfully applied to a wide range of diverse domains, from image classification to natural language processing, and they have often achieved impressive performances especially since the advent of deep learning. Read more

Simulation of complex systems allows research into the dynamics of systems that cannot be fully observed, ranging from biochemistry or cell-level biological processes, to social dynamics and beyond. Read more

Simulation of complex systems allows research into the dynamics of systems that cannot be fully observed, ranging from biochemistry or cell-level biological processes, to social dynamics and beyond. Read more

In this project the PhD research student needs to understand the strengths and weaknesses of the deep convolutional neural network for analysis of civil infrastructures, such as concrete bridges, highways, buildings, tunnels and stadiums, using videos/images captured by a network of multiple cameras. Read more

Wearable technology and data science are active and important areas of research. In particular, there is growing interest in the use of wearables for positive outcomes in health and well-being applications. Read more

Synthetic biology has emerged as an engineering field lately, with the aim of designing novel biological systems. Small biological components can be used together to create devices and systems. Read more